By 2024, 40% of APEJ-based supply chain forecasts will be automated using artificial intelligence, improving accuracy by 5 percentage points.
Unprecedented levels of volatility across supply chains—including fluctuations in commodity prices and consumer demand, and logistical breakdowns—create untenable levels of financial risk for manufacturers. Technologically-savvy manufacturers are fighting back. They are using the Internet of Things, big data analytics, and artificial intelligence to generate smarter, more timely, and more accurate supply chain forecasts. TM One can help organisations weave together the sensing, connectivity, data management, and advanced analytics needed to achieve superior inventory visibility, demand planning, and forecasting.
By 2025, 25% of APEJ-based manufacturers will share data in their ecosystems (partners, customers, suppliers), thereby improving OEE of their factory operations on average by 10%.
Manufacturers can derive significant amounts of value—BCG estimates $100 billion—by sharing data across companies. One source of this value is improvements in the availability, performance, and quality (APQ) of production lines, thereby increasing a manufacturers OEE (Overall Equipment Effectiveness) score. TM One can help organisations navigate the complexities of creating and maintaining shared data ecosystems, including creating data warehouses, setting up data governance and data security controls, and achieving data wrangling and data science capabilities.
By 2027, 25% of APEJ-based organizations will utilize vision analytics in operations, moving beyond quality inspection and security use cases to those focused on performance, experience, and safety.
Manufacturers already use machine vision for a variety of use cases such as quality control. Forward-looking leaders are expanding the opportunities around vision analytics by combining AI and IoT solutions and unlocking higher levels of shop floor productivity, experience, and safety. These include surfacing accident-prone areas and shrinking STF (slips, trips and falls) hazards, and enhancing the efficiency of motion studies to boost performance. TM One can execute cloud-to-edge AI solutions—that are optimised for cost, performance, and uptime—to support real-time visual analytics applications, and improve inferencing of computer vision models.
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